Search Results for "thinking" - Page 2
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Showing 195 open source projects for "thinking"
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Design OS
The missing design process between your product idea and your codebase
Design OS is an open-source product planning and UI design framework that sits at the intersection of design thinking and generative AI, guiding creators through a repeatable process from product idea to structured design deliverables. It fills what the maintainers describe as the “missing design process” in AI-first development, helping users define product visions, model data, map user flows, and lay out interfaces before a coding agent begins implementation. -
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spleen
Monospaced bitmap fonts
...Patrick Wildt (patrick@) recently imported ssdfb(4), a driver for small OLED displays in OpenBSD and needed a 5x8 font to be able to squeeze more columns and rows on those devices. As someone spending most of his time in a terminal, I have been thinking about drawing my own font for a while, and this was the perfect opportunity. To be able to test character spacing and alignment, I started to use the font in xterm, then a zoomed version, and one thing leading to another, I started creating a 8x16 version, and then bigger versions based on it. Spleen is now available in 5 sizes: 5x8, 8x16, 12x24, 16x32, and 32x64. ... -
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AdminSet
AdminSet for DevOps
Adminset is developed based on the DevOps concept and takes the integration of all operation and maintenance scenarios as its own responsibility. Adminset is a fully automated operation and maintenance platform developed based on operation and maintenance thinking. All functions of the client need to configure the ssh password-free login from the server to the client. -
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Khoj
An AI personal assistant for your digital brain
...Khoj is a desktop application to search and chat with your notes, documents, and images. It is an offline-first, open-source AI personal assistant that is accessible from Emacs, Obsidian or your Web browser. Khoj is a thinking tool that is transparent, fun, and easy to engage with. You can build faster and better by using Khoj to search and reason across all your data sources. Khoj learns from your notes and documents to function as an extension of your brain. So that you can stay focused on doing what matters. Khoj started with the founding principle that a personal assistant be understandable, accessible and hackable. ... -
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AI Berkshire
AI-era Berkshire: a value investing research framework
...It uses parallel agent analysis, adversarial viewpoints, financial rigor checks, and repeatable report formats to reduce shallow or overly balanced conclusions. The framework covers company research, earnings review, industry screening, portfolio thinking, management analysis, and investment checklists. It is best understood as a research and decision-support system rather than a source of financial advice. -
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The Swift Programming Language Chinese
The Swift Programming Language in Chinese
The Chinese version of Apple's official Swift tutorial "The Swift Programming Language" Swift is a fantastic way to write software, whether it’s for phones, desktops, servers, or anything else that runs code. It’s a safe, fast, and interactive programming language that combines the best in modern language thinking with wisdom from the wider Apple engineering culture and the diverse contributions from its open-source community. The compiler is optimized for performance and the language is optimized for development, without compromising on either. Swift is friendly to new programmers. It’s an industrial-quality programming language that’s as expressive and enjoyable as a scripting language. ... -
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Skills For Real Engineers
Skills for Real Engineers. Straight from my .claude directory
...The repository includes tools for converting conversations into product requirements, breaking plans into actionable issues, and stress-testing ideas through structured questioning. It emphasizes disciplined thinking before coding, encouraging developers to fully explore design decisions. Skills can be installed individually and integrated into agent environments, making them highly composable. Overall, the project transforms AI from a reactive assistant into a process-driven engineering collaborator. -
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DSH Anchored Standard
Two-phase DeepSeek Harness preset
...After a durable tool call or assistant response, the preset promotes the session to a resident phase with discovery tools and restored Standard context. Additional modes experiment with zero-tool anchors, seeded trajectories, permanent Minimal catalogs, and separate thinking and execution stages. Promotion state is derived from persistent session events, so it survives reloads and resumed sessions. Heavier tools can be discovered and unlocked on demand rather than exposed immediately. The project is now primarily maintenance-only. -
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Data Science Interviews
Data science interview questions and answers
...Many of the questions cover fundamental machine learning topics such as linear models, decision trees, neural networks, and evaluation metrics. In addition to theoretical questions, the repository also includes practical interview topics related to coding challenges, SQL queries, and algorithmic thinking. -
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Python-programming-exercises
100+ Python challenging programming exercises
...The exercises cover fundamentals such as strings, numbers, loops, lists, dictionaries, functions, regular expressions, file handling, classes, generators, and algorithmic thinking. Many problems include both a prompt and a suggested solution, making the repository useful for self-study and interview-style practice. The project is especially helpful for beginners who already know basic syntax and want structured repetition. It can also serve as a compact reference for instructors or mentors who need practical Python exercises. -
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iCSS
More than CSS
...Materials are continuously updated and organized by category, helping frontend developers discover new approaches to solving UI and visual design challenges. The repository aims to broaden developers’ thinking about what can be achieved purely with CSS and native browser capabilities. Overall, iCSS serves as a high-value reference and inspiration hub for frontend engineers seeking to push the boundaries of modern CSS. -
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aosabook
The Architecture of Open Source Applications
...Its purpose is educational, showing developers how experienced engineers solve complex design problems in actual software projects. The material is aimed at junior developers who want to learn architectural thinking, as well as more experienced programmers who want to compare approaches across systems. The repository includes documentation and production files rather than a single executable application. It is best understood as an open publishing project for software architecture learning. -
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Leemons
The Powerful, user-friendly, open source Learning Experience platform
The ultimate open source learning platform. The only tool that supports the most successful teaching methodologies: is project-based learning, role-playing, cooperative, flipped classroom, design thinking, etc. Turn your institution into an innovative space for knowledge exploration and construction. Make it easier for students and teachers to interact about their activities. Manage tasks with Kanban: keep students focused on their next task Project-based learning has never been easier: cross-curricular activities where teachers and students work together. ... -
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gstack
Use Garry Tan's exact Claude Code setup: 15 opinionated tools
...The system includes a set of curated tools that simulate roles like CEO, engineering manager, designer, and QA engineer, allowing developers to orchestrate complex development cycles more efficiently. It emphasizes structured thinking and process discipline, encouraging users to follow consistent workflows rather than ad hoc development practices. gstack integrates browsing, planning, reviewing, and shipping functionalities into a cohesive system, making it particularly useful for teams or individuals building products with AI assistance. -
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Delaunator
Fast JavaScript library for Delaunay triangulation of 2D points
...After constructing a delaunay = Delaunator.from(points) object, it will have a triangles array and a halfedges array, both indexed by half-edge id. What’s a half-edge? A triangle edge may be shared with another triangle. Instead of thinking about each edge A↔︎B, we will use two half-edges A→B and B→A. Having two half-edges is the key to everything this library provides. It will also be useful to have some helper functions to go from one half-edge to the next and previous half-edges in the same triangle. We can draw all the triangle edges without constructing the triangles themselves. -
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Neorg
Modernity meets insane extensibility
...Not only does this yield a low barrier for entry for new users it also ensures that all features are integrated with each other and speak the same underlying language. The file format is built to be expressive and easy to parse, which also makes .norg files easily usable anywhere outside of Neorg itself. A good way of thinking about Neorg is as a plaintext environment that can be adapted to a variety of use cases. If a problem can be represented using raw text, it can be solved using Neorg. -
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Dnote
A simple command line notebook
...It is designed around fast, distraction-free workflows that let users jot down notes quickly from the terminal or a web interface, ensuring that insights and solutions are captured at the moment they occur. With structured tagging and hierarchical organization, Dnote encourages users to categorize entries in ways that align with their own thinking rather than forcing a rigid notebook structure. Its search is optimized to handle large collections of notes, allowing users to find relevant information instantly, which makes it especially helpful for developers, engineers, and power users who accumulate practical knowledge over time. -
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DoWhy
DoWhy is a Python library for causal inference
...DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. Much like machine learning libraries have done for prediction, DoWhy is a Python library that aims to spark causal thinking and analysis. DoWhy provides a wide variety of algorithms for effect estimation, causal structure learning, diagnosis of causal structures, root cause analysis, interventions and counterfactuals. DoWhy builds on two of the most powerful frameworks for causal inference: graphical causal models and potential outcomes. For effect estimation, it uses graph-based criteria and do-calculus for modeling assumptions and identifying a non-parametric causal effect. ... -
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System Design
Learn how to design systems and prepare for system design interviews
This project is an open, course-style repository designed to help you learn system design from fundamentals through advanced, interview-ready thinking. It organizes core networking and distributed-systems concepts into a structured path, so you can build intuition before jumping into “design X” exercises. It covers the building blocks that show up in real architectures, such as DNS, load balancing, caching, CDNs, proxies, scalability and availability tradeoffs, and storage patterns, then connects those pieces to larger system goals. ... -
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Yao Open Prompts
A Chinese AI prompt vocabulary covering work, learning, content, etc.
...The library includes prompts for meta-prompt generation, business productivity, learning methods, content operations, marketing, GEO strategy, web reverse engineering, product prototyping, and critical thinking. It is designed as a practical catalog that users can browse, copy, adapt, and test in their preferred AI model. The project also includes templates, references, maintenance checklists, scripts, and a complete catalog for easier navigation. -
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Kanwas
Shared context board for teams and agents
...It is designed for long-running projects where maintaining context matters as much as producing a single response. Overall, Kanwas positions itself as a multiplayer thinking space for AI-assisted research, planning, and execution. -
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adversarial-spec
A Claude Code plugin that iteratively refines product specifications
adversarial-spec is a framework focused on designing and testing systems using adversarial thinking to uncover weaknesses and improve robustness. It encourages developers to define specifications that anticipate failure modes, edge cases, and malicious inputs before implementing solutions. The project emphasizes proactive design, ensuring that systems are built with resilience in mind from the beginning. It provides structured approaches for identifying vulnerabilities and stress-testing assumptions. ... -
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huihut interview
A summary of C/C++ technical interview basics
interview is a curated repository of technical interview questions, solutions, and explanations covering a wide range of topics in computer science and software engineering. It aims to help developers prepare for job interviews by providing sample problems in algorithms, data structures, system design, databases, and programming language intricacies, often with code snippets and discussion. The repo is designed so learners can practice real interview scenarios, compare approaches, and... -
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Deep Research
Use any LLMs (Large Language Models) for Deep Research
Deep Research is a local-first research agent that orchestrates multiple LLMs to generate in-depth reports in minutes. It combines “thinking” and “task” model roles with live internet access to plan, search, read, and synthesize findings into structured outputs. The project emphasizes privacy: processing and storage happen locally, avoiding server-side retention of your queries and notes. A simple web UI lets you enter topics and configure models, while the backend streams progress as sources are fetched and arguments are weighed. ... -
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CodeWorld
Educational computer programming environment using Haskell
CodeWorld is an educational programming environment that uses a Haskell-inspired language to teach computational thinking through graphics and interactive animation. The web-based IDE provides immediate visual feedback: students write code that draws shapes, composes pictures, and responds to events to build simple games and simulations. Its API emphasizes mathematics and geometry rather than low-level UI details, making it approachable for classrooms and self-learners.
